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Simulating Aerosol Size Distribution and Mass Concentration with Simultaneous Nucleation,Condensation/Coagulation, and Deposition with the GRAPES–CUACE

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Journal of Meteorological Research 2018年第2期32卷 265-278页

作者： Chunhong ZHOU Xiaojing SHEN Zirui LIU Yangmei ZHANG Jinyuan XIN State Key Laboratory of Severe Weather/Key Laboratory of Atmospheric Chemistry of China Meteorological Administration Chinese Academy of Meteorological Sciences Beijing 100081 Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 jiangsu collaborative innovation center of climate change Nanjing 210093

A coupled aerosol–cloud model is essential for investigating the formation of haze and fog and the interaction of aerosols with clouds and precipitation. One of the key tasks of such a model is to produce correct mass and number size distributions of aerosols. In this paper, a parameterization scheme for aerosol size distribution in initial emission,which took into account the measured mass and number size distributions of aerosols, was developed in the GRAPES–CUACE [Global/Regional Assimilation and Pr Ediction System–China Meteorological Administration（CMA） Unified Atmospheric Chemistry Environment model]—an online chemical weather forecast system that contains microphysical processes and emission, transport, and chemical conversion of sectional multi-component aerosols. In addition, the competitive mechanism between nucleation and condensation for secondary aerosol formation was improved, and the dry deposition was also modified to be in consistent with the real depositing length. Based on the above improvements, the GRAPES–CUACE simulations were verified against observational data during 1–31 January 2013, when a series of heavy regional haze–fog events occurred in eastern China. The results show that the aerosol number size distribution from the improved experiment was much closer to the observation, whereas in the old experiment the number concentration was higher in the nucleation mode and lower in the accumulation mode. Meanwhile, the errors in aerosol number size distribution as diagnosed by its sectional mass size distribution were also reduced. Moreover, simulations of organic carbon, sulfate, and other aerosol components were improved and the overestimation as well as underestimation of PM2.5 concentration in eastern China was significantly reduced,leading to increased correlation coefficient between simulated and observed PM2.5 by more than 70%. In the remote areas where bad simulation results were produced previously, the correlation coefficient grew fr

关键词： GRAPES-CUACE number size distribution sectional multi-components aerosol

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Analysis of a Heavy Rainfall Event over Beijing During 21-22 July2012 Based on High Resolution Model Analyses and Forecasts

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Journal of Meteorological Research 2014年第2期28卷 199-212页

作者：姜晓曼袁慧玲薛明陈曦谭晓光 School of Atmospheric Sciences and Key Laboratory of Mesoscale Severe Weather/Ministry of Education Nanjing University jiangsu collaborative innovation center for climate change School of Meteorology and center for Analysis and Prediction of Storms University of Oklahoma Beijing Institute of Urban Meteorology China Meteorological Administration

The heaviest rainfall over 61 yr hit Beijing during 21-22 July *** by great rainfall amount and intensity,wide range,and high impact,this record-breaking heavy rainfall caused dozens of deaths and extensive *** favorable synoptic conditions,operational forecasts underestimated the precipitation amount and were late at predicting the rainfall start *** gain a better understanding of the performance of mesoscale models,verification of high-resolution forecasts and analyses from the WRFbased BJ-RUCv2.0 model with a horizontal grid spacing of 3 km is carried *** results show that water vapor is very rich and a quasi-linear precipitation system produces a rather concentrated rain ***,model forecasts are first verified statistically using equitable threat score and BIAS *** BJ-RUCv2.0forecasts under-predict the rainfall with southwestward displacement error and time delay of the extreme *** quantitative analysis based on the contiguous rain area method indicates that major errors for total precipitation（〉 5 mm h^（-1）） are due to inaccurate precipitation location and pattern,while forecast errors for heavy rainfall（〉 20 mm h^（-1）） mainly come from precipitation ***,the possible causes for the poor model performance are discussed through diagnosing large-scale circulation and physical parameters（water vapor flux and instability conditions） of the BJ-RUCv2.0 model output.

关键词： heavy rainfall precipitation verification mesoscale model torrential rain forecast

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Advantages of the latest Los Alamos Sea-Ice Model(CICE):evaluation of the simulated spatiotemporal variation of Arctic sea ice

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Atmospheric and Oceanic Science Letters 2020年第2期13卷 113-120页

作者： WANG Huazhao ZHANG Lujun CHU Min HU Siyu School of Atmospheric Sciences Nanjing UniversityNanjingChina University Corporation for Polar Research Beijing Normal UniversityBeijingChina jiangsu collaborative innovation center for climate change Nanjing UniversityNanjingChina National climate center China Meteorological AdministrationBeijingChina

The Los Alamos Sea-Ice Model(CICE)is one of the most popular sea-ice *** versions of it have been the main sea-ice module coupled to climate system ***,evaluating their simulation capability is an important step in developing climate system *** with observations and previous versions(CICE4.0 and CICE5.0),the advantages of CICE6.0(the latest version)are analyzed in this *** is found that CICE6.0 has the minimum interannual errors,and the seasonal cycle it simulates is the most consistent with ***4.0 overestimates winter sea-ice and underestimates summer sea-ice ***,the errors of CICE5.0 in winter are larger than for the other *** main attention is paid to the perennial ice and the seasonal *** spatial distribution of root-mean-square errors indicates that the simulated errors are distributed in the Atlantic sector and the outer *** CICE4.0 and CICE5.0 underestimate the concentration of the perennial ice and overestimate that of the seasonal ice in these ***,CICE6.0 solves this problem ***,the decadal trends it simulates are comparatively the best,especially in the central Arctic *** other versions underestimate the decadal trend of the perennial ice and overestimate that of the seasonal *** addition,an index used to objectively describe the difference in the spatial distribution between the simulation and observation shows that CICE6.0 produces the best simulated spatial distribution.

关键词： Los Alamos Sea-Ice Model(CICE) spatiotemporal variation perennial ice seasonal ice model evaluation

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CHARACTERIZATION AND CAUSAL ANALYSIS OF TEMPORAL AND SPATIAL VARIATION IN DRY-WET CONDITIONS IN AUTUMN IN SOUTHWEST CHINA

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Journal of Tropical Meteorology 2015年第1期21卷 55-66页

作者：李栋梁徐栋夫王慧曲巧娜赵晓萌 collaborative innovation center on Forecast and Evaluation of Meteorological Disasters/Key Laboratory of Meteorological Disaster of Ministry of Education/School of Atmospheric Science NUIST Meteorological Bureau of Chengdu Shandong province Institute of Meteorological Science climate center of Shaanxi province

Based on the daily precipitation and temperature data of 97 stations in Southwest China(SW China) from1960 to 2009, a dry-wet index is calculated. The spatiotemporal variation characteristics of dry-wet conditions,precipitation and temperature are studied. Then the abnormal atmospheric circulation characteristics are discussed using reanalysis data. The results show that SW China has exhibited an overall trend of autumnal drought since the late1980 s, and this drought trend became more significant early in the 2000 s, especially in the eastern SW China. Autumnal dry-wet variation in southwestern China showed two major modes: consistent change across the entire region and opposing changes in the eastern and western regions. The spatial distribution of dry-wet anomalies was more significantly affected by precipitation, while temporal variation in dry-wet conditions was more strongly influenced by temperature. The former mode is affected by the anomalies of the precedent SST near the Western Pacific Warm Pool,the Western Pacific Subtropical High, the East Asian Trough and the South Trough. The latter mode is related to the wind anomalies in the eastern SW China and the vertical movement in the western and eastern SW China. These are the main influencing factors for the autumn dry-wet variation in SW China, which are of great significance to the prediction of drought.

关键词： dry-wet characteristics EOF analysis Southwest China circulation characteristics SST

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Formation of present desert landscape surrounding Jilantai Salt Lake in northern China based on OSL dating

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Frontiers of Earth Science 2015年第3期9卷 497-508页

作者： Yuxin FAN Xiaolong CHEN Wenhao LIU Fu ZHANG Fan ZHANG School of Earth Sciences and Key Laboratory of Mineral Resources in Western China of Gansu province Lanzhou University Lanzhou 730000 China MOE Key Laboratory of Western China's Environmental Systems Collaborative Innovation Center for Arid Environments and Climate Change Lanzhou University Lanzhou 730000 China

The Jilantai Salt Lake （JSL）, a lake of importance due to its salt production in China since the early Qing dynasty, is surrounded by sand dunes. Exploration of the development of these sand dunes will be helpful for identifying the forces underlying the desert landscape and for identifying a solution to protect the salt resources. Through field investigation, we found sand dunes overlying either lacustrine and bog deposits on the lake bed at a lower altitude or littoral sediments on the higher lakeshores. Optically Stimulated Luminescence （OSL） dating results indicate that sands started to accumulate around the JSL as early as the early Holocene （around 11 ka）, while the rapid development of sand dunes occurred within the latest 0.1 ka. By comparison with climatic documents and human activities in adjacent regions, the initiation of sand accumulation around the JSL as early as the early Holocene is considered to be the result of low effective moisture in the Jilantai area. However, the rapid development of the sand dunes in the vast area surrounding the JSL was likely initiated by the intensified human activities which occurred within the latest 0.1 ka under warm and dry climatic conditions.

关键词： aeolian sand accumulation Jilantai Salt Lake,OSL dating

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Role of tropical cyclones over the western North Pacific in the East Asian summer monsoon system

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Earth and Planetary Physics 2019年第2期3卷 147-156页

作者： Xian Chen Zhong Zhong YiJia Hu Shi Zhong Wei Lu Jing Jiang China Aerodynamics Research and Development center College of Meteorology and Oceanography National University of Defense Technology jiangsu collaborative innovation center for climate change Nanjing University State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Hohai University

Precipitation observations collected at weather stations in eastern China, the NCEP/NCAR reanalysis data, the tropical cyclone(TC) Best Track Dataset, and a sensitivity numerical experiment were used in the present study to investigate the role in the East Asian summer monsoon(EASM) system played by frequent TC activities over the western North Pacific(WNP). Results indicated that, in active TC years, the EASM is stronger and the southerly winds in the lower troposphere advance farther north and reach higher ***, the monsoon rain belt remains in the lower and middle reaches of the Yangtze River valley for a relatively short period,leading to less precipitation there. Both the western Pacific subtropical high and the South Asian high weaken with the northward shift of the ridgelines for both high-pressure systems as well as the East Asian subtropical upper-level jet. Therefore, the impacts of frequent TC activities over the WNP on each individual component of the EASM are in phase with those of the stronger EASM itself, amplifying features of the already strengthened EASM.

关键词： East Asian summer monsoon tropical cyclone western North Pacific

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The Henan extreme rainfall in July 2021: Modulation of the northward-shift monsoon trough on the synoptic-scale wave train

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Advances in climate change Research 2022年第6期13卷 819-825页

作者： Si-Hua HUANG Zhi-Ping WEN Xiao-Dan CHEN Yuan-Yuan GUO Zhe-Wen WANG Department of Atmospheric and Oceanic Sciences&Institute of Atmospheric Sciences Fudan UniversityShanghai 200438China Institute of Eco-Chongming(IEC) Shanghai 200062China innovation center of Ocean and Atmosphere System Zhuhai Fudan Innovation Research InstituteZhuhai 518057China jiangsu collaborative innovation center for climate change Nanjing 210023China Zhumadian Meteorological Office Zhumadian 463000China

The synoptic-scale wave train is a dominant pattern of the synoptic variability over the tropical western Pacific and usually affects the extreme weather over South China and Southeast *** it could extend its influence and contribute to the Henan extreme rainfall in July 2021 still needs to be *** found that during the Henan extreme rainfall days a positively synoptic-scale vorticity disturbance dominated Henan province,China,which was embedded in the synoptic-scale wave train that originated from the western North ***,the propagating pathway of this synoptic-scale wave train located northward and was likely modulated by the latitudinal location change of the monsoon trough over the western North Pacific.A northernmost displacement of the monsoon trough in July 2021(∼23.2°N)would facilitate the synoptic-scale wave train to propagate farther northwestward via shifting the related barotropic conversion ***,the synoptic-scale wave train from the tropics could reach Henan,provide the necessary lifting forcing,and supply abundant water vapor associated with the anomalous southerly for the occurrence of Henan extreme rainfall *** results implicate that the pre-existing synoptic-scale wave train regulated by the location of the monsoon trough may be a potential precursor for heavy rainfalls in northern Central China.

关键词： Extreme rainfall Northern Central China Synoptic-scale wave train Monsoon trough Barotropic energy conversion

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Multiscale analysis of Asian Monsoon over the past 640 ka

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Science China Earth Sciences 2019年第5期62卷 843-852页

作者： Yalan ZENG Shitao CHEN Shaohua YANG Yijia LIANG Yongjin WANG Key Laboratory of Virtual Geographic Environment Ministry of Education School of Geography ScienceNanjing Normal University State Key Laboratory of Cultivation Base of Geographical Environment Evolution (jiangsu province) jiangsu center for collaborative innovation in Geographical Environment Resource Development and Application

The empirical mode decomposition(EMD) method is used to re-analyse the high-resolution and precisely-dated stalagmite record from Chinese caves over the past 640 ka. Results show that(1) the variation in the Asian Monsoon can be completely decomposed into ten quasiperiod oscillations, among which the precession and semiprecession band oscillations are the most prominent periodicities, with contribution rates of 31.1% and 30.7%, respectively;(2) the cross-spectrum analysis of the semiprecession component and bi-hemisphere insolation(BHI) are strongly correlated, indicating an amplified response of precipitation and temperature variability to the interhemispheric insolation in the low-latitude regions, thus further affecting the intensity of the Asian Monsoon;(3) on millennial timescales, obvious oscillations at the 5 ka and 1–2 ka bands roughly correspond to the classical Bond and Dansgaard-Oeschger(DO) cycles. Additionally, a strong correlation is found between the detrended stalagmite δ18 O records and Ca/Sr sequence from the North Atlantic(especially at the 5 ka band). This result means that the 5 ka cycle is characteristic of the glacial-interglacial cycle since the middle and late Pleistocene and may imply that climate change on the millennial timescale is the result of an interaction between global ice volume and insolation.

关键词： Empirical mode decomposition (EMD) Asian Monsoon Oxygen isotope records Semiprecession 5 ka cycle

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INVESTIGATIONS ON MOISTURE TRANSPORTS, BUDGETS AND SOURCES RESPONSIBLE FOR THE DECADAL VARIABILITY OF PRECIPITATION IN SOUTHERN CHINA

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Journal of Tropical Meteorology 2016年第3期22卷 402-412页

作者：胡娅敏司东柳艳菊赵亮 Guangdong climate center Guangdong ProvinceGuangzhou 510080 China National climate center Beijing 100081 China collaborative innovation center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science&TechnologyJiangsu Province Nanjing 210044 China LASG Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029 China

In the context of global warming,apparent decdal-interdecdal variabilities can be detected in summer precipitation in southern *** around the 1990 s,precipitation in South China experienced a phase transition from a deficiency regime to an abundance regime in the early 1990 s,while the Yangtze River Valley witnessed a phase shift of summer precipitation from abundance to deficiency in the late 1990 *** analyses reveal a close relationship between such decadal precipitation shifts and moisture budgets,which is mainly modulated by the meridional *** relationship can be attributed to large-scale moisture transport ***,the HYSPLIT model is utilized to quantitatively evaluate relative moisture contributions from diverse sources during different *** can be found that during the period with abundant precipitation in South China,the moisture contribution from the source of Indochina Peninsula-South China Sea increased significantly,while during the deficient precipitation regime in the Yangtze River Valley,moisture from local source,western Pacific and Indochina Peninsula-South China Sea contributed less to *** means some new features of relative moisture contributions from diverse sources to precipitation anomaly in southern China took shape after 1990 s.

关键词： precipitation in southem China moisture transport moisture budget method tracing the air particle viaLagrange scheme

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Aerosol Data Assimilation Using Data from Fengyun-3A and MODIS:Application to a Dust Storm over East Asia in 2011

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Advances in Atmospheric Sciences 2019年第1期36卷 1-14页

作者： Xiaoli XIA Jinzhong MIN Feifei SHEN Yuanbing WANG Chun YANG Key Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of climate and Environment change (ILCEC)/collaborative innovation center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology

Aerosol optical depth （AOD） is the most basic paxalneter that describes the optical properties of atmospheric aerosols, and it can be used to indicate aerosol content. In this study, we assimilated AOD data from the Fengyun-3A （FY-3A） and MODIS meteorological satellite using the Gridpoint Statistical Interpolation three-dimensional variational data assimilation system. Experiments were conducted for a dust storm over East Asia in April 2011. Each 0600 UTC analysis initialized a 24-h Weather Research and Forecasting with Chemistry model forecast. The results generally showed that the assimilation of satellite AOD observational data can significantly improve model aerosol mass prediction skills. The AOD distribution of the analysis field was closer to the observations of the satellite after assimilation of satellite AOD data. In addition, the analysis resulting from the experiment assimilating both FY-3A/MERSI （Medium-resolution Spectral Imager） AOD data and MODIS AOD data had closer agreement with the ground-based values than the individual assimilation of the two datasets for the dust storm over East Asia. These results suggest that the Chinese FY-3A satellite aerosol products can be effectively applied to numerical models and dust weather analysis.

关键词： Fengyun-3A satellite aerosol optical depth data assimilation dust storm

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